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Abeegithan Jeyasothy
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2020 – today
- 2024
- [j4]Abeegithan Jeyasothy
, Savitha Ramasamy, Suresh Sundaram:
A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation. Appl. Soft Comput. 161: 111747 (2024) - [j3]Abeegithan Jeyasothy
Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier. IEEE Trans. Cybern. 54(1): 3-12 (2024) - 2021
- [b1]Abeegithan Jeyasothy:
Development of interpretable spiking neural network for multiclass classification. Nanyang Technological University, Singapore, 2021 - [j2]Abeegithan Jeyasothy, Savitha Ramasamy
Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem. Expert Syst. Appl. 178: 114985 (2021)
2010 – 2019
- 2019
- [j1]Abeegithan Jeyasothy
SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1231-1240 (2019) - [i2]Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram:
Efficient single input-output layer spiking neural classifier with time-varying weight model. CoRR abs/1904.10400 (2019) - [i1]Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan:
A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights. CoRR abs/1904.11367 (2019)
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